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Sequence Machine Learning Machine Intelligence on Sequence Data Paradigm This page lists some machine learning related research conducted by Kan Ren and his collaborators at ShanghaiTech University and Microsoft Research. The research topics cover spatial-temporal data mining, sequential decision making with reinforcement learning, machine learning algorithms such as meta-learning and ensemble learning, etc. These researches have been transferring to or conducted in real-world application scenarios such as healthcare and finance. Some researches are open-sourced via Qlib , AutoRL and SeqML . I'm now looking for prospective PhD/Master students and student interns working together on spatial-temporal data mining, forecasting, anomaly detection, representation learning and multi-modal machine learning at ShanghaiTech University. Please contact renkan[-AT-]shanghaitech.edu.cn if you have interests. Machine Learning Algorithms MLCopilot: Unleashing the Power of Large L...
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